SherLog: error diagnosis by connecting clues from run-time logs
By Ding Yuan, Haohui Mai, Weiwei Xiong, Lin Tan, Yuanyuan Zhou, Shankar Pasupathy. ASPLOS XV, 2010
344 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Software
View Paper: https://www.semanticscholar.org/paper/c86be6e5030c80ded2c42d696e1aea0eff86097b
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In Computer Networks and Communications
In Software
Citations in the corpus
- Debugging the data plane with anteater (2011, background): “Work on model checking, hardware verification and program analysis [7, 40, 42] often encounter problems that are NP-Complete.”
- DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning (2017, background): “It is already challenging to diagnose a problem using unstructured logs even after knowing an error has occurred [43]; online anomaly detection from massive log data is even more challenging.”
- Tools and Benchmarks for Automated Log Parsing (2018, background): “Typical applications include anomaly detection [12], [18], [23], problem diagnosis [4], [5], program verification [55], [56], performance modeling [3], etc.”
- this paper (2009, neutral): “Emerging network technologies like 5G have gotten both academia and industry excited about high-quality real-time communication (RTC) applications with ultra-high definition (UHD), high frame rate (HFR), and reduced delays.”